[이코노미스트 김윤주 기자] Woori Bank announced on the 25th that it has newly opened an advanced artificial intelligence (AI)-based Abnormal Transaction Detection (FDS) inspection system to prevent financial accidents and automate work.
This system advancement is characterized by a departure from the existing method of setting scenarios based on past accident cases, and is designed to capture new types of financial accidents by allowing AI to learn transaction patterns on its own.
Accordingly, abnormal signs are selected based on all financial transaction data, and inspection data and preliminary scenarios are automatically generated using AI. The generated scenarios are verified for accuracy and then applied to actual inspections, and are expected to increase the effectiveness of preventing financial accidents through daily inspections.
In addition, along with unstructured data analysis functions such as scanned images, the efficiency of internal control work was improved by applying ‘search-based generation technology (RAG)’ to efficiently utilize massive inspection data. RAG is an AI technology that automatically finds and organizes necessary information, enabling rapid inspection by reducing the time required for personnel to manually check data.
A Woori Bank official said, “By upgrading the FDS inspection system using AI technology, we can expand the scope of daily inspections and preemptively respond to financial accidents that are difficult to predict,” and added, “As part of Woori Financial Group’s transition to an AX-based management system, we will strive to prevent financial accidents by actively introducing AI technology in internal control.”
Meanwhile, Woori Financial Group is pursuing AX management transformation and is expanding its internal control and risk management system as well as the introduction of AI throughout the company. Through this, we are improving work efficiency and continuously securing the capacity to expand productive finance and inclusive finance.
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